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Preference Measurement with Conjoint Analysis. Overview of State-of-the-Art Approaches and Recent Developments Cover

Preference Measurement with Conjoint Analysis. Overview of State-of-the-Art Approaches and Recent Developments

By: Felix Eggers and  Henrik Sattler  
Open Access
|Jul 2014

References

  1. Eggers, F. and Sattler, H. (2009), “Hybrid Individualized Two-level Choice-based Conjoint (HIT-CBC): A New Method for Measuring Preference Structures with Many Attribute Levels, International Journal of Research in Marketing”, 26 (2), pp. 108 - 118.
  2. Huber, J. and Zwerina, K. (1996), “The Importance of Utility Balance in Efficient Choice Designs, Journal of Marketing Research”, 33(3), pp. 307 - 317.
  3. Louviere, J.J. and G. Woodworth (1983), “Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data”, Journal of Marketing Research, 20 (November), pp. 350 - 367.10.1177/002224378302000403
  4. Sawtooth Software Inc. (2009): ACBC Technical Paper, Sawtooth Software Technical Paper Series, pp. 1 - 21.
  5. Toubia, O., Hauser, J.R. and Simester, D.I. (2004), “Polyhedral Methods for Adaptive Choice Based Conjoint Analysis”, Journal of Marketing Research, 41 (February), pp. 116 - 131.10.1509/jmkr.41.1.116.25082
  6. Voeth, M. (2000): Nutzenmessung in der Kaufverhaltensforschung: Die Hierarchische Individualisierte Limit Conjoint-Analyse. Wiesbaden10.1007/978-3-322-91477-4
Language: English
Page range: 36 - 47
Published on: Jul 19, 2014
Published by: Nuremberg Institute for Market Decisions
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2014 Felix Eggers, Henrik Sattler, published by Nuremberg Institute for Market Decisions
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.